A simple numerical procedure for estimating the stochastic robustness of a linear time-
invariant system is described. Monte Carlo evaluations of the system's eigenvalues allows …

A central issue in many engineering design endeavors is the presence of uncertainty in the
problem description. Different application fields employ different characterizations of the …

This bibliography includes a compilation of selected books and journal articles written on the
subject of Robust Control during the period 1987–1991. Papers are further divided into …

Practical control systems must operate satisfactorily with uncertain variations in plant
parameters (ie, control systems must be robust), but there are limits to the degree of …

The stability robustness problem is considered for nominally stable linear discrete-time
systems. Using time-domain analysis methods and Lyapunov theory, bounds on the norms …

An output feedback control law is presented, hereafter called the linear quadratic coupled
delay compensator (LQCDC), for application to processes that are subjected to randomly …

For discrete-time stochastic parameter systems, this paper presents a characterization of all
state covariances assignable by a linear controller and a parametrization of all controllers …

The current standards for handling uncertainty in control systems use interval bounds for
definition of the uncertain parameters. This approach gives no information about the …

Full and reduced-order observer design for discrete stochastic bilinear systems | IEEE Journals &
Magazine | IEEE Xplore Full and reduced-order observer design for discrete stochastic bilinear …

This paper will characterize the covariances that certain bilinear stochastic discrete time
systems may possess. An explicit parameterization of all controllers that assign such …